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Weed Lord Simulator

Developer Revolt GamesPublisher Revolt Games

Build a cannabis empire through production, wholesale deals, hired staff, and smart decisions while staying ahead of the law.

Top Sellers#4,434New

Updated Oct 17, 2026.

Wishlist RankNot ranked

Updated Oct 17, 2026.

Store
Developer benchmark

Metadata synced: Jul 24, 2026 · Not queued

Prices & bundle history

Steam ↗$13.49Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews0Score not recorded
Recorded bundlesNot recordedNo cached observation

Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.

Bundle history & historical prices

Bundle history has not been recorded yet.

Rank History

Recent appearances for this app across complete public snapshots.

CapturedTop SellersWishlist Rank
Oct 17, 2026#4,434-

Data Coverage

What SteamFueled currently has for this app.

Store metadata
Synced Jul 24, 2026
Available
Reviews
No review summary yet
Pending
Tags
28 tags synced
Available
Links
No official links synced
Pending
Current players
Waiting for player count sync
Pending
Top Sellers
Rank #4,434
Available
Wishlist Rank
Not in latest snapshot
Pending

Store Details

Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.

Platforms
Windows
Steam recommendations
Not synced
Review rating
Not synced
Weighted score
Not synced
Current players
Not synced
Achievements
Not synced
Metacritic
Not synced
Required age
Not listed

Snapshot Details

Source context for the latest complete public rank snapshots.

Top Sellers
#4,434
New
Previous - - Updated Oct 17, 2026
Snapshot size: 9,026 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 17, 2026
Snapshot size: 5,244 rows.Steam public wishlist-rank order, not an exact private wishlist count.

Tags

Public Steam tags split by source. Store tags and genres are used more heavily for benchmark similarity than feature categories.